I. SPPQ DATA PACKAGE INFORMATION

Date: 2025
Title: "Fairness in Women’s Sports? Explaining State Legislator Support for Transgender Athlete Bans"
Kimberly Martin, Georgia Southern University, <kimberlymartin@georgiasouthern.edu>

II. COMPUTE ENVIRONMENT

Stata v 17.0 SE Standard Edition
Running under Windows 10 v 22H2 OS Build 19045.5247

Microsoft 365 Excel Version 2402 Build 17328.20670

Estimated Run Time: 3 minutes 

III. FILE LIST
Data
1. Trans Athletes DATA.dta — data file for all states, legislators, and districts. 

Code
2. Trans Athletes Syntax.do — script that reproduces all results, figures, tables, reported in the main article and online appendix.  

Documentation:
3. README.txt — description of the files, compute environment, and data sources.
4. Trans Athletes CODEBOOK — description of the variables contained in "Trans Athletes DATA.dta."

IV. DATA SOURCES

1. Warshaw, Chris, and Chris Tausanovitch. 2022. "Subnational Ideology and Presidential Vote Estimates (v2022).” Harvard Dataverse, V1. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BQKU4M

2. Shor, Boris, 2020, "Aggregate State Legislator Shor-McCarty Ideology Data, July 2020 update", https://doi.org/10.7910/DVN/AP54NE, Harvard Dataverse, V1. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/AP54NE

3. All other unoriginal data collected through the American Community Survey (Census). Exact tables used to identify variables are listed in the codebook. 

V. WORKFLOW

To reproduce the results from the main article and online appendix, (1) open Trans Athletes DATA.dta, (2) open Trans Athletes Syntax.do, (3) and run both files. Tables and graphs were created in Excel 360. 
